{"id":"W2146642977","doi":"10.1111/j.1523-1739.2004.00538.x","title":"Sensitivity of Systematic Reserve Selection to Decisions about Scale, Biological Data, and Targets: Case Study from Southern British Columbia","year":2004,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Threatened species; Selection (genetic algorithm); Biodiversity; Scale (ratio); Nature reserve; Spatial ecology; Ecology; Habitat; Geography; Identification (biology); Environmental resource management; Biology; Computer science; Environmental science; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008799101,0.00007783448,0.0002899341,0.00002186556,0.0002989148,0.00002888911,0.0001125791,0.0001150289,0.00009469794],"category_scores_gemma":[0.001228476,0.00008892791,0.00001811809,0.0001995394,0.000270581,0.00008613165,0.0003485463,0.00008240699,0.00003820021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000516987,"about_ca_system_score_gemma":0.000014198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1890953,"about_ca_topic_score_gemma":0.8765133,"domain_scores_codex":[0.9985359,0.0004873327,0.0003671339,0.0004081957,0.00006228266,0.0001391454],"domain_scores_gemma":[0.9987572,0.0007484588,0.0001488991,0.0002402839,0.00005096836,0.00005421142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009730122,0.0001382842,0.9974195,0.00001921122,0.00003293866,0.00005170608,0.0008272917,0.0001116038,0.001115523,0.000008148709,0.0001076195,0.000158479],"study_design_scores_gemma":[0.0004721486,0.0002348124,0.99176,0.0000867405,0.00003705276,0.0002172858,0.003347092,0.0021689,0.000007187391,0.001541461,0.00001340165,0.0001138809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926656,0.00007730271,0.005988819,0.0001751925,0.00007343921,0.0007035141,0.0002649758,0.00002728952,0.00002381735],"genre_scores_gemma":[0.9971964,0.00001982556,0.002303112,0.0003038894,0.00001116846,0.00004428415,0.00007214003,0.000004606591,0.00004454632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.687418,"threshold_uncertainty_score":0.8163046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04224874965761224,"score_gpt":0.2824261090494118,"score_spread":0.2401773593917996,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}